Refine
Year of publication
- 2017 (104) (remove)
Document Type
- Article (67)
- Doctoral Thesis (32)
- Book (3)
- Contribution to a Periodical (2)
Has Fulltext
- yes (104)
Is part of the Bibliography
- no (104)
Keywords
- LTP (3)
- aging (3)
- copyright (3)
- hippocampus (3)
- piracy (3)
- publishing (3)
- Cell biology (2)
- LibGen (2)
- Photorhabdus (2)
- Sci-Hub (2)
Institute
- Biowissenschaften (104) (remove)
In der vorliegenden dreiteiligen Studie werden Mongolische Wüstenrennmäuse untersucht, deren Hörspektren im tieffrequenten Bereich und deren Unterscheidungsfähigkeiten von Kommunikationsrufen denen des Menschen ähneln. Die extrazelluläre Aktivität im primären auditorischen Kortex (AI) der narkotisierten Versuchstiere, evoziert durch Reintöne und arteigene Kommunikationsrufe, wird in der linken (LH) und rechten Gehirnhemisphäre (RH) aufgenommen. Es werden Multikanalelektroden (16 Eingangskanäle) verwendet, welche eine simultane Aufnahme der neuronalen Aktivitäten aller kortikalen Schichten ermöglichen. Zur Analyse der neuronalen Mechanismen werden Wellenformen einzelner Elektrodenkanäle und Aktivitätsprofile, bestehend aus den Wellenformen aller Elektrodenkanäle in einem Zeitfenster von 600 ms, auf Ebene von Aktionspotentialen (MUA), lokalen Feldpotentialen (LFP) und Current-source-density (CSD) Analysen, untersucht. Während MUAs die neuronalen Aktionspotentiale im Nahfeld der Elektrode reflektieren, umfassen die LFPs die summierten Potentiale (inhibitorisch und exzitatorisch) von Neuronen eines größeren Areals. Die CSDs hingegen werden durch die Integration von LFP-Wellenformen benachbarter, linear angeordneter Elektrodenkanäle berechnet und ermöglichen so eine Lokalisation der Ursprünge geräuschspezifischer Aktivitätsflüsse.
Im ersten Teilprojekt werden CSD-Profile in Antwort auf unterschiedliche Reintöne untersucht, um die Aktivitätskomponenten, die so genannten Sinks, für weiterführende Analysen zu quantifizieren. Es können zwei primäre (s1 und s2), drei mittlere (s3-s5) und vier späte (s6-s9) Sinks in einem Zeitfenster von 600 ms definiert werden. Eine Veränderung der Stimulusfrequenz eine Oktave über und unter der charakteristischen Frequenz (CF), beziehungsweise des Lautstärkepegels = 24 dB über der minimalen Schwelle, führt zu qualitativen Veränderungen in der CSD-Profilstruktur. Die Sink s7 wird durch Stimuli mit niedrigem Lautstärkepegel weniger verlässlich evoziert, wohingegen die Sink s9 bei Stimuli eine Oktave über der CF verlässlicher evoziert wird. Die Ergebnisse weisen darauf hin, dass im AI die spektralen Informationen eine Oktave über und unter der CF asymmetrisch integriert werden.
Auf Einzelschichtebene konnte bereits gezeigt werden, dass spektrotemporale Eigenschaften von Stimuli durch MUAs schlechter reflektiert wurden als durch LFPs, was vermutlich eine direkte Konsequenz der unterschiedlichen Ursprünge der Signaltypen ist. Daher werden im zweiten Teilprojekt die spezifischen Unterschiede der MUA-, LFP- und CSD-Antworten auf Ebene kortikaler Schichten und kompletter laminarer Profile untersucht, um die Unterschiede und den Informationsgehalt der drei Signaltypen zu charakterisieren. Signifikante Unterschiede, welche durch zwei Reintöne und sieben Kommunikationssignale evoziert werden, können verstärkt im mittleren und späten Latenzbereich und in granulären und infragranulären Schichten vorgefunden werden. Der Grad der Rufspezifizität ist in LFP und CSD-Antworten im Vergleich zu demjenigen in MUA-Antworten größer. Die Segregationsleistung ist im Vergleich zu einzelnen kortikalen Schichten in den von kortikalen Kolumnen abgeleiteten laminaren Profilen um den Faktor 1,8-2,6 erhöht. Die Neuronenpopulationen einzelner kortikaler Kolumnen sind vermutlich wichtig für die Kodierung von Geräuschen, welche sich in ihren spektrotemporalen Eigenschaften unterscheiden.
Viele vorangegangene Studien konnten zeigen, dass die Gehirnhemisphären akustische Signale asymmetrisch verarbeiten. Daher werden im dritten Hauptteil die laminaren Profile der LH und RH quantitativ und statistisch verglichen. Die MUA-, CSD-Profile und im geringeren Maße auch die LFP-Profile zeigen systematische Unterschiede auf signifikantem Niveau in der Dauer, Onset Latenz und vertikalen Ausdehnung bestimmter Aktivitäten. Kommunikationsrufe evozieren in der LH, welche beim Menschen auf Sprachstimuli spezialisiert ist, im Vergleich zur RH komplexere CSD-Profile. Die neuronale MUA-, LFP- und CSD-Aktivitätsstärke ist in der RH für weniger komplexe Stimuli teilweise signifikant erhöht. Die Asymmetrie in der Auftrittsverlässlichkeit der Sink s6 lässt vermuten, dass sich die intrakolumnäre Vernetzung in Schicht VIa zwischen der LH und RH unterscheidet. Die wenigen, signifikanten und nicht systematischen Unterschiede zwischen den Sink-Parametern der LH und RH nach kortikaler Ausschaltung mit dem GABAA-Rezeptor Agonist Muscimol weisen darauf hin, dass die Hemisphärenasymmetrie durch Prozesse des ipsilateralen Kortex maßgeblich beeinflusst wird.
The website Sci-Hub provides access to scholarly literature via full text PDF downloads. The site enables users to access articles that would otherwise be paywalled. Since its creation in 2011, Sci-Hub has grown rapidly in popularity. However, until now, the extent of Sci-Hub's coverage was unclear. As of March 2017, we find that Sci-Hub's database contains 68.9% of all 81.6 million scholarly articles, which rises to 85.2% for those published in closed access journals. Furthermore, Sci-Hub contains 77.0% of the 5.2 million articles published by inactive journals. Coverage varies by discipline, with 92.8% coverage of articles in chemistry journals compared to 76.3% for computer science. Coverage also varies by publisher, with the coverage of the largest publisher, Elsevier, at 97.3%. Our interactive browser at https://greenelab.github.io/scihub allows users to explore these findings in more detail. Finally, we estimate that over a six-month period in 2015–2016, Sci-Hub provided access for 99.3% of valid incoming requests. Hence, the scope of this resource suggests the subscription publishing model is becoming unsustainable. For the first time, the overwhelming majority of scholarly literature is available gratis to anyone with an Internet connection.
The website Sci-Hub provides access to scholarly literature via full text PDF downloads. The site enables users to access articles that would otherwise be paywalled. Since its creation in 2011, SciHub has grown rapidly in popularity. However, until now, the extent of Sci-Hub’s coverage was unclear. As of March 2017, we find that Sci-Hub’s database contains 68.9% of all 81.6 million scholarly articles, which rises to 85.2% for those published in toll access journals. Coverage varies by discipline, with 92.8% coverage of articles in chemistry journals compared to 76.3% for computer science. Coverage also varies by publisher, with the coverage of the largest publisher, Elsevier, at 97.3%. Our interactive browser at greenelab.github.io/scihub allows users to explore these findings in more detail. We find Sci-Hub preferentially covers popular, paywalled content, containing 96.2% of citations to toll access journals since 2015. For recently requested articles by Unpaywall users, oaDOI provided access to 48.8% whereas Sci-Hub contained 81.5%. Together, oaDOI and Sci-Hub covered 94.1%, demonstrating that gaps in Sci-Hub’s coverage, especially for open access articles, can be filled using licit services. For the first time, nearly all scholarly literature is available gratis to anyone with an Internet connection. Sci-Hub’s scope suggests the subscription publishing model is becoming unsustainable.
In search for new natural products, which may lead to the development of new drugs for all kind of applications, novel methods are needed. Here we describe the identification of electrophilic natural products in crude extracts via their reactivity against azide as a nucleophile followed by their subsequent enrichment using a cleavable azide-reactive resin (CARR). Using this approach, natural products carrying epoxides and α,β-unsaturated enones as well as several unknown compounds were identified in crude extracts from entomopathogenic Photorhabdus bacteria.
Box C/D snoRNAs are known to guide site-specific ribose methylation of ribosomal RNA. Here, we demonstrate a novel and unexpected role for box C/D snoRNAs in guiding 18S rRNA acetylation in yeast. Our results demonstrate, for the first time, that the acetylation of two cytosine residues in 18S rRNA catalyzed by Kre33 is guided by two orphan box C/D snoRNAs–snR4 and snR45 –not known to be involved in methylation in yeast. We identified Kre33 binding sites on these snoRNAs as well as on the 18S rRNA, and demonstrate that both snR4 and snR45 establish extended bipartite complementarity around the cytosines targeted for acetylation, similar to pseudouridylation pocket formation by the H/ACA snoRNPs. We show that base pairing between these snoRNAs and 18S rRNA requires the putative helicase activity of Kre33, which is also needed to aid early pre-rRNA processing. Compared to yeast, the number of orphan box C/D snoRNAs in higher eukaryotes is much larger and we hypothesize that several of these may be involved in base-modifications.
Binding free energy calculations that make use of alchemical pathways are becoming increasingly feasible thanks to advances in hardware and algorithms. Although relative binding free energy (RBFE) calculations are starting to find widespread use, absolute binding free energy (ABFE) calculations are still being explored mainly in academic settings due to the high computational requirements and still uncertain predictive value. However, in some drug design scenarios, RBFE calculations are not applicable and ABFE calculations could provide an alternative. Computationally cheaper end-point calculations in implicit solvent, such as molecular mechanics Poisson–Boltzmann surface area (MMPBSA) calculations, could too be used if one is primarily interested in a relative ranking of affinities. Here, we compare MMPBSA calculations to previously performed absolute alchemical free energy calculations in their ability to correlate with experimental binding free energies for three sets of bromodomain–inhibitor pairs. Different MMPBSA approaches have been considered, including a standard single-trajectory protocol, a protocol that includes a binding entropy estimate, and protocols that take into account the ligand hydration shell. Despite the improvements observed with the latter two MMPBSA approaches, ABFE calculations were found to be overall superior in obtaining correlation with experimental affinities for the test cases considered. A difference in weighted average Pearson () and Spearman () correlations of 0.25 and 0.31 was observed when using a standard single-trajectory MMPBSA setup ( = 0.64 and = 0.66 for ABFE; = 0.39 and = 0.35 for MMPBSA). The best performing MMPBSA protocols returned weighted average Pearson and Spearman correlations that were about 0.1 inferior to ABFE calculations: = 0.55 and = 0.56 when including an entropy estimate, and = 0.53 and = 0.55 when including explicit water molecules. Overall, the study suggests that ABFE calculations are indeed the more accurate approach, yet there is also value in MMPBSA calculations considering the lower compute requirements, and if agreement to experimental affinities in absolute terms is not of interest. Moreover, for the specific protein–ligand systems considered in this study, we find that including an explicit ligand hydration shell or a binding entropy estimate in the MMPBSA calculations resulted in significant performance improvements at a negligible computational cost.
In the dentate gyrus (DG) of the mammalian hippocampus, neurogenesis continues to take place throughout an organism’s life. Adult neurogenesis includes proliferation and differentiation of neural stem cells into dentate granule cells (GCs) that mature and integrate into the existing cellular network. This thesis work presents a novel approach that enables longitudinal examination of living postnatally generated GCs in their endogenous niche by using retroviral (RV) labeling in organotypic entorhino-hippocampal slice cultures (OTCs). Older GCs were fluorescence-labeled with an adeno-associated virus controlled by the synapsin 1 promoter (AAV-Syn). The combination of time-lapse imaging and 3-D reconstruction of newborn developing GCs and older, more mature GCs enabled comparative analyses of dendritic growth and cellular dynamics as well as investigations of spine formation and the establishment of synaptic contacts.
Postnatal neurogenesis was studied in the mouse and rat DG in vivo by analysis of the distribution of chemical neuronal maturation markers doublecortin (DCX) and calbindin in combination with the GC marker Prox1 between P7 and P42. The marker expression patterns at different time points indicated that the number of mature GCs increased gradually over time and that young, immature GCs were added to the inner layers of the granule cell layer (GCL), as is the case in the adult brain. The most substantial shift in GC maturation took place between P7 and P14, though GCs in the rat DG matured faster (i.e. by ~5 days) than GCs in the mouse. Immunocytochemical in vitro analysis in OTCs at DIV 7, 14, and 28 exhibited a distribution of marker expression over time that was comparable to in vivo, though the number of DCX-expressing GCs was low at DIV 28, indicating a considerable decrease in neurogenesis rate over time in the OTC. Nevertheless, RV-labeling of newborn GCs at DIV 0 yielded successful visualization and enabled time-lapse imaging of complete developing GCs up to 4 weeks after mitosis. During the second week of development, newborn GCs exhibited a high level of structural dynamics, including extension and retraction of dendritic segments. In the third week, newborn GCs displayed high dendritic complexity which was followed by pronounced dendritic pruning. Finally, a phase of structural stabilization and local refinement could be observed during the fourth week. Older AAV-Syn-labeled GCs did not exhibit such dynamic structural remodeling. Anterograde tracing of entorhinal projection fibers using the biotinylated dextran amine Mini Ruby showed innervation of the outer molecular layer (OML) by entorhinal axons at early time points, i.e. DIV 8 when newborn GCs started to extend dendrites into the ML, as well as at DIV 20 when RV-labeled GCs exhibited elaborate dendritic trees with processes in the OML intermingling with entorhinal fibers. This shows that newborn GCs in the OTC grow into an area of existing entorhinal axon terminals, which is highly similar to the situation in the adult brain. Hence, the results show that postnatal neurogenesis can be studied effectively in the OTC system as a model of adult neurogenesis. The first appearance of spine-like protrusions in newborn GCs was observed two weeks post RV injection. Ultrastructural electron-microscopic images revealed that spines established synaptic contacts with axonal boutons. These findings suggest that newborn GCs are successfully integrated into the existing cellular circuitry in the OTC system. The high level of structural flexibility found in this study might be a necessary requisite of new neurons for successful dendritic maturation and functional integration into a neuronal network. Thus, live imaging of postnatally born GCs in the OTC appears as a useful novel approach to elucidate the mechanisms that affect cellular dynamics of neurogenesis.
The transporter associated with antigen processing (TAP) selectively translocates antigenic peptides into the endoplasmic reticulum. Loading onto major histocompatibility complex class I molecules and proofreading of these bound epitopes are orchestrated within the macromolecular peptide-loading complex, which assembles on TAP. This heterodimeric ABC-binding cassette (ABC) transport complex is therefore a major component in the adaptive immune response against virally or malignantly transformed cells. Its pivotal role predestines TAP as a target for infectious diseases and malignant disorders. The development of therapies or drugs therefore requires a detailed comprehension of structure and function of this ABC transporter, but our knowledge about various aspects is still insufficient. This review highlights recent achievements on the structure and dynamics of antigenic peptides in complex with TAP. Understanding the binding mode of antigenic peptides in the TAP complex will crucially impact rational design of inhibitors, drug development, or vaccination strategies.
Genetic data in studies of systematics of Amazonian amphibians frequently reveal that purportedly widespread single species in reality comprise species complexes. This means that real species richness may be significantly higher than current estimates. Here we combine genetic, morphological, and bioacoustic data to assess the phylogenetic relationships and species boundaries of two Amazonian species of the Dendropsophus leucophyllatus species group: D. leucophyllatus and D. triangulum. Our results uncovered the existence of five confirmed and four unconfirmed candidate species. Among the confirmed candidate species, three have available names: Dendropsophus leucophyllatus, Dendropsophus triangulum, and Dendropsophus reticulatus, this last being removed from the synonymy of D. triangulum. A neotype of D. leucophyllatus is designated. We describe the remaining two confirmed candidate species, one from Bolivia and another from Peru. All confirmed candidate species are morphologically distinct and have much smaller geographic ranges than those previously reported for D. leucophyllatus and D. triangulum sensu lato. Dendropsophus leucophyllatus sensu stricto occurs in the Guianan region. Dendropsophus reticulatus comb. nov. corresponds to populations in the Amazon basin of Brazil, Ecuador, and Peru previously referred to as D. triangulum. Dendropsophus triangulum sensu stricto is the most widely distributed species; it occurs in Amazonian Ecuador, Peru and Brazil, reaching the state of Pará. We provide accounts for all described species including an assessment of their conservation status.
Compartmental models are the theoretical tool of choice for understanding single neuron computations. However, many models are incomplete, built ad hoc and require tuning for each novel condition rendering them of limited usability. Here, we present T2N, a powerful interface to control NEURON with Matlab and TREES toolbox, which supports generating models stable over a broad range of reconstructed and synthetic morphologies. We illustrate this for a novel, highly detailed active model of dentate granule cells (GCs) replicating a wide palette of experiments from various labs. By implementing known differences in ion channel composition and morphology, our model reproduces data from mouse or rat, mature or adult-born GCs as well as pharmacological interventions and epileptic conditions. This work sets a new benchmark for detailed compartmental modeling. T2N is suitable for creating robust models useful for large-scale networks that could lead to novel predictions. We discuss possible T2N application in degeneracy studies.